CUP Journals promote research transparency by encouraging authors to share the data and resources that support its published results through appropriate public repositories. Research data generated in connection with the article should be shared as soon as legally and ethically possible. Authors are asked to provide a Data Availability Statement in the manuscript, which can be included as a link to the repository used and published in the article. The following statements can be utilized, and the same have been included in our cover letter in the “Author Guidelines” tab.
Data Availability Statement
The data availability statement should outline how the data supporting the results presented in your paper can be accessed. Where datasets are assigned persistent identifiers, they should be formally cited in the reference list in accordance with data citation standards and include the statement in the manuscript as well as in cover letter
- I/we declare that the data supporting the conclusions of this study can be accessed openly in [repository name] at [URL], reference number [reference number].
- I/we declare that the data supporting the conclusions of this study can be obtained upon request from the corresponding author [initials]. The data are not publicly accessible due to [restrictions, e.g., containing information that may compromise the privacy of research participants].
- I/we declare that data sharing is not relevant to this article as no new data were generated or analyzed in this study.
- I/we declare that the authors confirm that the data supporting the conclusions of this study are included within the article [and/or] its supplementary materials.
To ensure long-term preservation, retrieval, and accessibility of published research outputs, all materials are digitally stored. All published materials are archived using the DSpace digital repository system to ensure secure storage, metadata management, and long-term accessibility of scholarly content.
Published articles may also be disseminated through professional academic networking platforms such as LinkedIn to enhance scholarly visibility. This helps in extended exposure and interaction by the academic community. In this regard, sharing means granting organized access to published work using such digital mediums of communication as posting and recommending content to interested scholarly groups.